diff --git a/checkpoint/orbax/checkpoint/_src/testing/benchmarks/pytree_checkpoint_benchmark.py b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/pytree_checkpoint_benchmark.py
index 727320f24..361da4b8a 100644
--- a/checkpoint/orbax/checkpoint/_src/testing/benchmarks/pytree_checkpoint_benchmark.py
+++ b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/pytree_checkpoint_benchmark.py
@@ -97,7 +97,7 @@ class PyTreeCheckpointBenchmark(benchmarks_core.BenchmarksGenerator):
   PyTreeCheckpointHandler with various configurations.
   """
 
-  def _clear_pytree(self, pytree: Any) -> Any:
+  def clear_pytree(self, pytree: Any) -> Any:
     """Clears the pytree to free up memory."""
     return jax.tree.map(
         lambda x: x.delete() if isinstance(x, jax.Array) else None, pytree
@@ -174,7 +174,7 @@ def test_fn(
         assert hasattr(checkpointer, "wait_until_finished")
         checkpointer.wait_until_finished()
 
-    context.pytree = self._clear_pytree(context.pytree)
+    context.pytree = self.clear_pytree(context.pytree)
 
     with metrics.measure("restore", metrics_to_measure):
       restored_pytree = checkpointer.restore(
@@ -185,7 +185,7 @@ def test_fn(
           ),
       )
 
-    self._clear_pytree(restored_pytree)
+    self.clear_pytree(restored_pytree)
 
     checkpointer.close()
     return benchmarks_core.TestResult(metrics=metrics)
diff --git a/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark.py b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark.py
new file mode 100644
index 000000000..96f51624b
--- /dev/null
+++ b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark.py
@@ -0,0 +1,165 @@
+# Copyright 2025 The Orbax Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Benchmarks for V1 free functions."""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+import dataclasses
+import pprint
+from typing import Any
+
+from absl import logging
+import jax
+from orbax.checkpoint import v1 as ocp
+from orbax.checkpoint._src.testing.benchmarks.core import core as benchmarks_core
+from orbax.checkpoint._src.testing.benchmarks.core import metric as metric_lib
+
+
+def _metrics_to_measure(options: V1BenchmarkOptions) -> list[str]:
+  """Returns the list of metrics to measure."""
+  metrics = ["time", "rss", "io"]
+  if options.metric_tracemalloc_enabled:
+    metrics.append("tracemalloc")
+  if options.metric_tensorstore_enabled:
+    metrics.append("tensorstore")
+  return metrics
+
+
+# ==============================================================================
+# 1. Define the Options Dataclass for this specific benchmark
+# ==============================================================================
+@dataclasses.dataclass(frozen=True)
+class V1BenchmarkOptions(benchmarks_core.BenchmarkOptions):
+  """Configuration options for benchmarks targeting V1BenchmarkHandler.
+
+  Each attribute can be a single value or a list of values to create
+  a parameter sweep.
+
+  Attributes:
+  """
+
+  async_enabled: bool | Sequence[bool] = True
+  use_ocdbt: bool | Sequence[bool] = True
+  use_zarr3: bool | Sequence[bool] = False
+  use_compression: bool | Sequence[bool] = True
+  save_concurrent_gb: int | None | Sequence[int | None] = None
+  restore_concurrent_gb: int | None | Sequence[int | None] = None
+  metric_tracemalloc_enabled: bool = False
+  metric_tensorstore_enabled: bool = False
+  use_replica_parallel: bool | Sequence[bool] = False
+  enable_replica_parallel_separate_folder: bool | Sequence[bool] = False
+  enable_trace: bool = False
+
+  def is_valid(self):
+    assert isinstance(self.use_replica_parallel, bool)
+    assert isinstance(self.enable_replica_parallel_separate_folder, bool)
+    if self.enable_replica_parallel_separate_folder and (
+        not self.use_replica_parallel or not self.use_ocdbt
+    ):
+      return False
+    return True
+
+  @property
+  def context(self) -> ocp.Context:
+    return ocp.Context(
+        array_options=ocp.options.ArrayOptions(
+            saving=ocp.options.ArrayOptions.Saving(
+                use_ocdbt=self.use_ocdbt,
+                use_zarr3=self.use_zarr3,
+                use_replica_parallel=self.use_replica_parallel,
+                use_compression=self.use_compression,
+                enable_replica_parallel_separate_folder=self.enable_replica_parallel_separate_folder,
+                concurrent_bytes=self.save_concurrent_gb * 1024**3
+                if self.save_concurrent_gb is not None
+                else None,
+            ),
+            loading=ocp.options.ArrayOptions.Loading(
+                concurrent_bytes=self.restore_concurrent_gb * 1024**3
+                if self.restore_concurrent_gb is not None
+                else None,
+            ),
+        ),
+    )
+
+
+# ==============================================================================
+# 2. Implement the Benchmark Generator
+# ==============================================================================
+@benchmarks_core.benchmark_options(V1BenchmarkOptions)
+class V1Benchmark(benchmarks_core.BenchmarksGenerator):
+  """A concrete generator for `orbax.checkpoint.V1BenchmarkHandler`.
+
+  This class provides the specific test logic for benchmarking the
+  V1BenchmarkHandler with various configurations.
+  """
+
+  def _clear_pytree(self, pytree: Any) -> Any:
+    """Clears the pytree to free up memory."""
+    return jax.tree.map(
+        lambda x: x.delete() if isinstance(x, jax.Array) else None, pytree
+    )
+
+  def test_fn(
+      self, context: benchmarks_core.TestContext
+  ) -> benchmarks_core.TestResult:
+    """The core test logic for a single save/restore cycle.
+
+    This function is called for each combination of options generated by the
+    framework. It uses the `context.options` to configure the handler
+    dynamically for each run.
+
+    Args:
+      context: The test context containing the pytree, path, and options.
+
+    Returns:
+      The test result containing the metrics.
+    """
+    metrics = metric_lib.Metrics()
+    pytree = context.pytree
+    abstract_pytree = jax.tree.map(ocp.arrays.to_shape_dtype_struct, pytree)
+    save_path = context.path / "ckpt"
+    options = context.options
+    assert isinstance(options, V1BenchmarkOptions)
+
+    logging.info("Benchmark options: %s", pprint.pformat(options))
+    metrics_to_measure = _metrics_to_measure(options)
+
+    with ocp.Context(context=options.context):
+      if options.enable_trace:
+        jax.profiler.start_trace(context.path / "trace_save")
+      if options.async_enabled:
+        with metrics.measure("save_blocking", metrics_to_measure):
+          f = ocp.save_pytree_async(save_path, pytree)
+        with metrics.measure("save_background", metrics_to_measure):
+          f.result()
+      else:
+        with metrics.measure("save_blocking", metrics_to_measure):
+          ocp.save_pytree(save_path, pytree)
+        with metrics.measure("save_background", metrics_to_measure):
+          pass
+      context.pytree = self._clear_pytree(context.pytree)
+      if options.enable_trace:
+        jax.profiler.stop_trace()
+
+      if options.enable_trace:
+        jax.profiler.start_trace(context.path / "trace_load")
+      with metrics.measure("load", metrics_to_measure):
+        restored_pytree = ocp.load_pytree(save_path, abstract_pytree)
+        self._clear_pytree(restored_pytree)
+      if options.enable_trace:
+        jax.profiler.stop_trace()
+
+    return benchmarks_core.TestResult(metrics=metrics)
diff --git a/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark_test.py b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark_test.py
new file mode 100644
index 000000000..8fe7191d6
--- /dev/null
+++ b/checkpoint/orbax/checkpoint/_src/testing/benchmarks/v1_benchmark_test.py
@@ -0,0 +1,135 @@
+# Copyright 2025 The Orbax Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from absl.testing import absltest
+from absl.testing import parameterized
+from etils import epath
+import jax.numpy as jnp
+from orbax.checkpoint._src.testing.benchmarks import v1_benchmark
+from orbax.checkpoint._src.testing.benchmarks.core import configs as benchmarks_configs
+from orbax.checkpoint._src.testing.benchmarks.core import core as benchmarks_core
+
+
+V1BenchmarkOptions = v1_benchmark.V1BenchmarkOptions
+V1Benchmark = v1_benchmark.V1Benchmark
+
+
+class V1BenchmarkTest(parameterized.TestCase):
+
+  def setUp(self):
+    super().setUp()
+    self.directory = epath.Path(self.create_tempdir().full_path)
+
+  @parameterized.parameters(
+      dict(
+          options=V1BenchmarkOptions(use_ocdbt=False, use_zarr3=True),
+          expected_len=1,
+      ),
+      dict(
+          options=V1BenchmarkOptions(use_ocdbt=[False, True], use_zarr3=True),
+          expected_len=2,
+      ),
+      dict(
+          options=V1BenchmarkOptions(
+              use_ocdbt=[False, True], use_zarr3=[False, True]
+          ),
+          expected_len=4,
+      ),
+  )
+  def test_generate_benchmarks(self, options, expected_len):
+    generator = V1Benchmark(
+        checkpoint_configs=[benchmarks_configs.CheckpointConfig(spec={})],
+        options=options,
+    )
+    benchmarks = generator.generate()
+    self.assertLen(benchmarks, expected_len)
+    for benchmark in benchmarks:
+      self.assertIsInstance(benchmark.options, V1BenchmarkOptions)
+
+  @parameterized.product(
+      use_ocdbt=(False, True),
+      use_zarr3=(False, True),
+      use_compression=(False, True),
+      save_concurrent_gb=(None, 1),
+      restore_concurrent_gb=(None, 2),
+      use_replica_parallel=(False,),  # Simplified for single process test
+      enable_replica_parallel_separate_folder=(False,),
+  )
+  def test_benchmark_test_fn(
+      self,
+      use_ocdbt,
+      use_zarr3,
+      use_compression,
+      save_concurrent_gb,
+      restore_concurrent_gb,
+      use_replica_parallel,
+      enable_replica_parallel_separate_folder,
+  ):
+    # Skip invalid combinations
+    if enable_replica_parallel_separate_folder and (
+        not use_replica_parallel or not use_ocdbt
+    ):
+      return
+
+    generator = V1Benchmark(
+        checkpoint_configs=[benchmarks_configs.CheckpointConfig(spec={})],
+        options=V1BenchmarkOptions(),
+    )
+
+    pytree = {
+        'a': jnp.arange(10),
+        'b': {'c': jnp.ones((5, 5))},
+    }
+
+    test_options = V1BenchmarkOptions(
+        use_ocdbt=use_ocdbt,
+        use_zarr3=use_zarr3,
+        use_compression=use_compression,
+        save_concurrent_gb=save_concurrent_gb,
+        restore_concurrent_gb=restore_concurrent_gb,
+        use_replica_parallel=use_replica_parallel,
+        enable_replica_parallel_separate_folder=enable_replica_parallel_separate_folder,
+    )
+
+    # Create unique path for each parameter set
+    test_subdir = (
+        self.directory / f'test_{use_ocdbt}_{use_zarr3}_{use_compression}'
+    )
+    test_subdir.mkdir(exist_ok=True, parents=True)
+
+    context = benchmarks_core.TestContext(
+        pytree=pytree, path=test_subdir, options=test_options
+    )
+
+    result = generator.test_fn(context)
+
+    self.assertIsInstance(result, benchmarks_core.TestResult)
+    # Check for expected metrics keys based on _metrics_to_measure
+    # in v1_benchmark.py and the metric.measure calls.
+    # The benchmark records "save_blocking", "save_background", "load".
+    # Metric "time" is always added.
+
+    # We expect roughly:
+    # save_blocking_time_duration
+    # save_background_time_duration
+    # load_time_duration
+
+    metrics = result.metrics.results
+    self.assertIn('save_blocking_time_duration', metrics)
+    self.assertIn('save_background_time_duration', metrics)
+    self.assertIn('load_time_duration', metrics)
+
+
+if __name__ == '__main__':
+  absltest.main()